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Paper Details

Integrating transcriptomics, metabolomics, and GWAS helps reveal molecular mechanisms for metabolite levels and disease risk.
Am J Hum Genet
12
2022
(E,E)-bilirubin, 1,597 genes, 397 genes, FinnGen, LIPC, SLC22A5, UGT1A1, UGT1A4, age-related macular degeneration, carnitine, causal variants, gallbladder disorders, gene, genes, genetic variants, men
Author NameAffiliation
Anne U JacksonDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health ann arbor
Heather M StringhamDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health ann arbor
Ryan P WelchDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health ann arbor
Adam E LockeMcDonnell Genome Institute, Washington University School of Medicine
Christian FuchsbergerDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, USA Institute for Biomedicine
Michael R ErdosCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health
Michael R ErdosCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health
Lori L BonnycastleCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health
Johanna KuusistoUniversity of Eastern Finland and Kuopio University Hospital, Finland Center for Medicine and Clinical Research, Kuopio University Hospital
Nathan O StitzielMcDonnell Genome Institute, Washington University School of Medicine
Samuli RipattiInstitute for Molecular Medicine Finland, University of Helsinki, Finland Broad Institute of MIT and Harvard
Aarno PalotieInstitute for Molecular Medicine Finland, University of Helsinki, Massachusetts General Hospital
Nelson B FreimerCenter for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles
Francis S CollinsCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health
Francis S CollinsCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health
Karen L MohlkeUniversity of North Carolina at Chapel Hill
Laura J ScottDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health ann arbor
Eric B FaumanInternal Medicine Research Unit
Charles F BurantUniversity of Michigan ann arbor
Michael BoehnkeDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health ann arbor
Markku LaaksoUniversity of Eastern Finland and Kuopio University Hospital
Xiaoquan WenDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health ann arbor
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Datasets

GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link